Course Schedules

Classroom 12 Sessions
Online / Live
Live

Introduction

AI to Improve Decision-Making & Business Performance Training Course equips managers and leaders with practical ways to use artificial intelligence to strengthen judgement and enhance organisational outcomes. In modern business environments, leaders must make accurate and timely decisions while managing growing complexity, uncertainty, and large volumes of data. Artificial intelligence supports this challenge by transforming information into actionable insights that guide better strategic and operational choices.

This AI Decision-Making Training Course focuses on practical and business-ready AI applications that help improve strategic planning, forecasting, performance analysis, and operational efficiency. Rather than presenting AI as a technical discipline, the course highlights its role as a powerful management tool that enhances productivity, analytical capability, and leadership effectiveness.

Participants will explore how AI for business performance improvement supports decisions related to finance, operations, customers, and workforce management. The course also emphasises responsible AI adoption, ensuring that leaders maintain human judgement, ethical responsibility, and governance oversight while integrating AI into decision-making processes that support sustainable business performance.

What are the Goals?

AI to Improve Decision-Making & Business Performance Training Course provides participants with the knowledge and practical insight required to apply artificial intelligence to leadership and managerial decision-making. The course helps leaders use AI responsibly to strengthen judgement, improve performance outcomes, and support strategic alignment.

By the end of this training course, participants will be able to:

  • Understand how artificial intelligence enhances managerial and executive decision-making

  • Identify practical AI tools for decision-making and business performance improvement

  • Use AI for data-driven insights, forecasting, and scenario analysis

  • Improve operational efficiency, productivity, and performance outcomes using AI

  • Apply responsible AI practices aligned with governance, ethics, and organisational standards

  • Integrate AI into leadership, strategy development, and performance management

  • Strengthen organisational decision processes through AI-driven analytics and insights

Who is this Training Course for?

AI to Improve Decision-Making & Business Performance Training Course is designed for leaders and professionals responsible for strategic, operational, and performance-related decisions across organisations. It is particularly valuable for those seeking practical ways to adopt artificial intelligence in management without requiring technical expertise.

This training course is suitable for a wide range of professionals but will greatly benefit:

  • Senior managers and department heads responsible for business performance

  • Business leaders and executives involved in strategic decision-making

  • Strategy, transformation, and performance management professionals

  • Operations, finance, HR, and marketing leaders managing organisational outcomes

  • Project and programme managers responsible for complex decision environments

  • Professionals seeking practical adoption of AI for business decision-making

  • Individuals responsible for improving organisational productivity and performance

How will this Training Course be Presented?

This AI to Improve Decision-Making & Business Performance Training Course adopts an applied and executive-focused learning approach to ensure immediate relevance and practical value. Participants benefit from expert-led explanations that translate artificial intelligence concepts into clear managerial use cases that support better leadership decisions.

Practical business scenarios illustrate how AI-powered analytics and decision-support tools can strengthen strategy development, operational management, financial planning, and customer-related decisions. Through case-based exercises, participants learn how to interpret AI insights, evaluate decision options, and connect analytical findings with measurable business outcomes.

Interactive discussions encourage participants to reflect on their own decision challenges and identify opportunities where AI can enhance performance. Peer learning promotes cross-functional perspectives and the exchange of practical experiences. Throughout the course, strong emphasis is placed on responsible AI use, governance, and leadership accountability to ensure that artificial intelligence supports better decisions while preserving human judgement and organisational values.

Course Content

Day 1

Day One: AI Foundations for Business Decision-Making

  • Introduction to Artificial Intelligence in business environments
  • Evolution of decision-making: from intuition to data-driven AI
  • Key AI concepts explained for non-technical professionals
  • Descriptive, predictive, and prescriptive analytics
  • AI-enabled decision-support systems
  • Identifying decision-making challenges AI can solve
  • Case examples of AI-driven decision-making success
Day 2

Day Two: Data, Analytics, and AI-Driven Insights

  • The role of data in AI-powered decisions
  • Data quality, data governance, and data readiness
  • Turning raw data into meaningful business insights
  • AI-powered dashboards and business intelligence tools
  • Real-time analytics for faster decision-making
  • Using AI to reduce uncertainty and bias in decisions
  • Practical examples of analytics-driven performance improvement
Day 3

Day Three: AI Applications for Business Performance Improvement

  • AI in strategic planning and competitive analysis
  • Improving operational efficiency with AI
  • AI-driven financial analysis and performance forecasting
  • Enhancing customer experience and customer decision journeys
  • AI for supply chain, procurement, and resource optimization
  • AI in risk management and scenario analysis
  • Measuring the impact of AI on business performance
Day 4

Day Four: Predictive & Prescriptive AI for Smarter Decisions

  • Predictive analytics for forecasting business outcomes
  • Prescriptive analytics for optimization and decision recommendations
  • AI-based scenario modeling and “what-if” analysis
  • AI in budgeting, investment decisions, and cost optimization
  • Decision automation vs. decision augmentation
  • Integrating AI recommendations into managerial judgment
  • Managing risks and limitations of AI-driven decisions
Day 5

Day Five: Implementing AI for Sustainable Decision Excellence

  • Building an AI-driven decision-making culture
  • Aligning AI initiatives with business strategy
  • Selecting and evaluating AI tools and vendors
  • Change management and workforce readiness for AI adoption
  • AI governance, ethics, and responsible decision-making
  • Measuring ROI and performance impact of AI initiatives
  • Developing an AI adoption roadmap for decision-making excellence

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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